Literature DB >> 15975855

The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy.

Tamara M E Nijsen1, Johan B A M Arends, Paul A M Griep, Pierre J M Cluitmans.   

Abstract

Seizure detection results based on the visual analysis of three-dimensional (3D) accelerometry (ACM) and video/EEG recordings are reported for 18 patients with severe epilepsy. They were monitored for 36 hours during which 897 seizures were detected. This was seven times higher than the number of seizures reported by nurses during the registration period. The results in this article demonstrate that 3D ACM is a valuable sensing method for seizure detection in this population. Four hundred twenty-eight (48%) seizures were detected by ACM. With 3D ACM alone it was possible to detect all the seizures in 10 of the 18 patients. Three-dimensional ACM also was complementary to EEG in our population. ACM patterns during seizures were stereotypical in 95% of the motor seizures. These characteristic patterns are a starting point for automated seizure detection.

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Year:  2005        PMID: 15975855     DOI: 10.1016/j.yebeh.2005.04.011

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  18 in total

Review 1.  Seizure detection: do current devices work? And when can they be useful?

Authors:  Xiuhe Zhao; Samden D Lhatoo
Journal:  Curr Neurol Neurosci Rep       Date:  2018-05-23       Impact factor: 5.081

Review 2.  Future of seizure prediction and intervention: closing the loop.

Authors:  Vivek Nagaraj; Steven T Lee; Esther Krook-Magnuson; Ivan Soltesz; Pascal Benquet; Pedro P Irazoqui; Theoden I Netoff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

Review 3.  Therapeutic devices for epilepsy.

Authors:  Robert S Fisher
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

4.  Automatic Detection of Opioid Intake Using Wearable Biosensor.

Authors:  Md Shaad Mahmud; Hua Fang; Honggang Wang; Stephanie Carreiro; Edward Boyer
Journal:  Int Conf Comput Netw Commun       Date:  2018-06-21

Review 5.  Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit.

Authors:  Steven C Schachter; John Guttag; Steven J Schiff; Donald L Schomer
Journal:  Epilepsy Behav       Date:  2009-09       Impact factor: 2.937

Review 6.  [Mobile seizure monitoring in epilepsy patients].

Authors:  A Schulze-Bonhage; S Böttcher; M Glasstetter; N Epitashvili; E Bruno; M Richardson; K V Laerhoven; M Dümpelmann
Journal:  Nervenarzt       Date:  2019-12       Impact factor: 1.214

7.  Devices for Ambulatory Monitoring of Sleep-Associated Disorders in Children with Neurological Diseases.

Authors:  Adriana Ulate-Campos; Melissa Tsuboyama; Tobias Loddenkemper
Journal:  Children (Basel)       Date:  2017-12-25

8.  Detection of epileptic seizure using wireless sensor networks.

Authors:  Golshan Taheri Borujeny; Mehran Yazdi; Alireza Keshavarz-Haddad; Arash Rafie Borujeny
Journal:  J Med Signals Sens       Date:  2013-04

9.  NeuroKinect: A Novel Low-Cost 3Dvideo-EEG System for Epileptic Seizure Motion Quantification.

Authors:  João Paulo Silva Cunha; Hugo Miguel Pereira Choupina; Ana Patrícia Rocha; José Maria Fernandes; Felix Achilles; Anna Mira Loesch; Christian Vollmar; Elisabeth Hartl; Soheyl Noachtar
Journal:  PLoS One       Date:  2016-01-22       Impact factor: 3.240

10.  Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?

Authors:  Judith van Andel; Constantin Ungureanu; Johan Arends; Francis Tan; Johannes Van Dijk; George Petkov; Stiliyan Kalitzin; Thea Gutter; Al de Weerd; Ben Vledder; Roland Thijs; Ghislaine van Thiel; Kit Roes; Frans Leijten
Journal:  Epilepsia Open       Date:  2017-09-06
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